Monitoring a status of a disconnected device by a mobile device and an audio analysis system in an infrastructure

ABSTRACT

A computer program product and a computer system for monitoring an operation status of a disconnected device by a mobile device and an audio analysis system in an infrastructure. The mobile device has connectivity to the infrastructure while the disconnected device has no connectivity to the infrastructure. The audio analysis system receives from the mobile device audio with information of a location of the mobile device. The audio analysis system determines whether the audio is recorded from the disconnected device based on the information of the location of the mobile device, compares the audio with pre-recorded sounds of the disconnected device, determines the operation status of the disconnected device, and sends to the mobile device a notification of the operation status of the disconnected device.

BACKGROUND

The present invention relates generally to a mobile device and aninfrastructure or cloud computing environment, and more particularly tomonitoring a status of a disconnected device by a mobile device and anaudio analysis system in an infrastructure or cloud computingenvironment.

In the Internet of Things (IoT), physical devices, referred to asconnected devices or smart devices, are connected in theinter-networking. The connected devices or smart devices are embeddedwith electronics, software, sensors, actuators, and networkconnectivity, so that these connected devices or smart devices areenabled to collect and exchange data. The status of these connecteddevices or smart devices can be reported to mobile devices such assmartphones. For example, a smart thermometer can track the temperatureof food on a grill and send an alert to a mobile device such as asmartphone when the food reaches a certain temperature or cooking isfinished. There are typically two means of connectivity for smartdevices. First, smart devices with built-in cellular connectivity areconnected to the cloud directly. Second, smart devices are paired to acloud connected device; for example, the connectivity is established bycreating a Bluetooth® connection between a smart device and a mobiledevice such as a smartphone. (Bluetooth is a trademark of BluetoothSpecial Interest Group.)

However, many devices have no means of connectivity to the cloud andthey are disconnected devices or non-smart devices. The disconnecteddevices or non-smart devices include appliances such as washing machinesand dishwashers. The disconnected devices or non-smart devices alsoinclude smoke alarms. Many kitchen gadgets such as toasters are thedisconnected devices or non-smart devices.

SUMMARY

In one aspect, a computer program product for monitoring an operationstatus of a disconnected device by a mobile device and an audio analysissystem in an infrastructure is provided. The mobile device hasconnectivity to the infrastructure and the disconnected device has noconnectivity to the infrastructure. The computer program productcomprises a computer readable storage medium having program codeembodied therewith. The program code is executable to receive from themobile device, by the audio analysis system, audio with information of alocation of the mobile device, wherein the audio is recorded duringpassive listening of the mobile device to the disconnected device. Theprogram code is further executable to determine, by the audio analysissystem, whether the audio is recorded from the disconnected device,based on the information of the location of the mobile device. Theprogram code is further executable to compare, by the audio analysissystem, the audio with pre-recorded sounds of the disconnected device,in response to determining that the audio is recorded from thedisconnected device. The program code is further executable todetermine, by the audio analysis system, the operation status of thedisconnected device, based on a comparison of the audio and thepre-recorded sounds. The program code is further executable to send tothe mobile device, by the audio analysis system, a notification of theoperation status of the disconnected device, in response to determiningthat the operation status is an event predetermined by a user of themobile device.

In another aspect, a computer system for monitoring an operation statusof a disconnected device by a mobile device and an audio analysis systemin an infrastructure is provided. The mobile device has connectivity tothe infrastructure and the disconnected device has no connectivity tothe infrastructure. The computer system comprises one or moreprocessors, one or more computer readable tangible storage devices, andprogram instructions stored on at least one of the one or more computerreadable tangible storage devices for execution by at least one of theone or more processors. The program instructions are executable toreceive from the mobile device, by the audio analysis system, audio withinformation of a location of the mobile device, wherein the audio isrecorded during passive listening of the mobile device to thedisconnected device. The program instructions are further executable todetermine, by the audio analysis system, whether the audio is recordedfrom the disconnected device, based on the information of the locationof the mobile device. The program instructions are further executable tocompare, by the audio analysis system, the audio with pre-recordedsounds of the disconnected device, in response to determining that theaudio is recorded from the disconnected device. The program instructionsare further executable to determine, by the audio analysis system, theoperation status of the disconnected device, based on a comparison ofthe audio and the pre-recorded sounds. The program instructions arefurther executable to send to the mobile device, by the audio analysissystem, a notification of the operation status of the disconnecteddevice, in response to determining that the operation status is an eventpredetermined by a user of the mobile device.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is a diagram illustrating a system for monitoring a status of adisconnected device by a mobile device and an audio analysis system in acloud infrastructure, in accordance with one embodiment of the presentinvention.

FIG. 2 is a flowchart showing operational steps for monitoring a statusof a disconnected device by a mobile device and an audio analysis systemin a cloud infrastructure, in accordance with one embodiment of thepresent invention.

FIG. 3 is a diagram illustrating components of a computing device, inaccordance with one embodiment of the present invention.

FIG. 4 depicts a cloud infrastructure environment, in accordance withone embodiment of the present invention.

FIG. 5 depicts abstraction model layers in a cloud infrastructureenvironment, in accordance with one embodiment of the present invention.

DETAILED DESCRIPTION

Embodiments of the present invention disclose a system and method formonitoring a status of a disconnected device or non-smart device by amobile device and an audio analysis system in a cloud infrastructure orcloud computing environment. The disconnected device or non-smart devicehas no means of connectivity to the cloud infrastructure or cloudcomputing environment, while the mobile device has connectivity to thecloud infrastructure. In the system and method, a mobile device (such asa smartphone) uses passive listening and a location service on a mobiledevice to determine whether a disconnected device (such as a washingmachine) is emitting sounds. The cloud-based audio analysis systemanalyzes the sounds emitted by the disconnected device and determinesthe status of the disconnected device. Based on a predetermined event,the cloud-based audio analysis system issues a notification to themobile device.

FIG. 1 is a diagram illustrating system 100 for monitoring a status ofdisconnected device 120 by mobile device 110 and audio analysis system130 in cloud infrastructure 140, in accordance with one embodiment ofthe present invention.

Disconnected device (or non-smart device) 120 has no connectivity tocloud infrastructure 140. Disconnected device (or non-smart device) 120may be an appliance such as a washing machine or a dishwasher.Disconnected device (or non-smart device) 120 may be, for example, asmoke alarm. Disconnected device (or non-smart device) 120 may be akitchen gadget such as a toaster.

Mobile device 110 has connectivity to cloud infrastructure 140. Forexample, mobile device 110 is a smartphone. The smartphone, as a mobilecomputing device, has an operating system that is capable of runningcomputing programs. The mobile computing device is described in moredetail in later paragraphs with reference to FIG. 3 which illustratescomponents of a computing device.

In embodiments of the present invention, audio analysis system 130 is incloud infrastructure 140. In one embodiment, audio analysis system 130resides on a physical machine as a server in cloud infrastructure 140.The physical machine hosting audio analysis system 130 is a computingdevice which is described in more detail in later paragraphs withreference to FIG. 3. In another embodiment, audio analysis system 130resides on a virtual machine or another virtualization implementation asa server in cloud infrastructure 140. The virtual machine or thevirtualization implementation runs on a physical machine.

A mobile app running on mobile device 110 is defined to passively listento the operation of disconnected device 120. A user of mobile device 110specifies a list of disconnected devices (including disconnected device120) and locations of the disconnected devices. For example, the usermay specify that mobile device 110 passively listens to sounds from alaundry machine when the user is located near to a laundry room in ahome. The mobile app on mobile device 110 uses a location service onmobile device 110, such as GPS and/or Beacons, to determine a currentlocation of mobile device 110. When mobile device 110 is located at ornear a predefined location of disconnected device 120 (such as thelaundry machine in the laundry room), the mobile app invokes passivelistening. The passive listening uses a microphone on mobile device 110to automatically record audio. The passive listening is the sametechnology used by services such as “Hey Siri” on iOS, “Alexa” onAmazon, and “OK Google” on Android.

The mobile app on mobile device 110 analyzes passively recorded audioand determines whether the sound of disconnected device 120 can bedetected. For example, when mobile device 110 is near the laundry room,mobile device 110 determines whether sound of the laundry machine bedetected. When the sound of disconnected device 120 is audibly picked upby mobile device 110 or mobile device 110 determines that the sound ofdisconnected device 120 can be detected, mobile device 110 streams theaudio with the information of the current location of mobile device 110to audio analysis system 130 in cloud infrastructure 140, using networkconnectivity capabilities of mobile device 110.

In response to receiving the streamed audio with the information of thecurrent location of mobile device 110, audio analysis system 130determines from which specific one of disconnected devices the audio isrecorded, based the information of the current location of mobile device110. Audio analysis system 130 pairs the location of mobile device 110and the predefined location of a specific of the disconnected devices.The information of predefined locations of different disconnecteddevices is stored in a knowledge base in cloud infrastructure 140. Ifaudio analysis system 130 pairs the location of mobile device 110 withthe predefined location of the specific one (e.g., disconnected device120) of the disconnected devices, audio analysis system 130 candetermine that the audio is recorded from the specific one (e.g.,disconnected device 120) of the disconnected devices. For example, ifaudio analysis system 130 can pair the current location of mobile device110 and the location of a washing machine in the laundry room, audioanalysis system 130 can then determine that the audio recorded by mobiledevice 110 is from a washing machine instead of others such as adishwasher.

Audio analysis system 130 analyzes the audio recorded and streamed bymobile device 110 and compares the recorded audio with various knownsounds of disconnected device 120. The various known sounds(pre-recorded) of disconnected device 120 are stored in the knowledgedatabase in cloud infrastructure 140. Based on a comparison of the audioand the various known sounds of disconnected device 120, by matching theaudio with one of the various known sounds of disconnected device 120,audio analysis system 130 determines an operation status of disconnecteddevice 120. For example, audio analysis system 130 compares the audio ofa washing machine to washing machine's various sounds stored in theknowledge database. The washing machine's various known sounds aresounds for different operation cycles. By matching the streamed audiowith one of the washing machine's various known sounds, audio analysissystem 130 determines an operation cycle of the washing machine (such asa spin cycle, a soak cycle, etc).

Audio analysis system 130 updates the operation status in the knowledgedatabase in cloud infrastructure 140. The user can check the operationstatus updated in the knowledge database in cloud infrastructure 140.For events predetermined by the user, audio analysis system 130 sendsnotifications to mobile device 110. For example, completion of operationcycles of the washing machine is an event predetermined by the user;when audio analysis system 130 determines that the washing machine'scycles complete, audio analysis system 130 sends a notification of thecompletion to mobile device 110.

FIG. 2 is a flowchart showing operational steps for monitoring a statusof disconnected device 120 by mobile device 110 and audio analysissystem 130 in cloud infrastructure 140, in accordance with oneembodiment of the present invention. At step 201, mobile device 110receives from a user a selection of disconnected device 120 in a list ofdisconnected devices. At step 202, mobile device 110 determines alocation of mobile device 110. A mobile app on mobile device 110 uses alocation service on mobile device 110 to determine the current locationof mobile device 110. For example, the location service on mobile device110 is GPS or Beacons.

At step 203, mobile device 110 determines whether mobile device 110 isin proximity to a predefined location of disconnected device 120. Inresponse to determining that mobile device 110 is in proximity to thepredefined location of disconnected device 120, at step 204, mobiledevice 110 invokes passive listening of mobile device 110 to a soundgenerated by disconnected device 120. A mobile app on mobile device 110invokes passive listening. For example, the passive listening uses amicrophone on mobile device 110 to automatically record audio.

At step 205, mobile device 110 analyzes audio recorded during thepassive listening to determine whether the sound can be detected bymobile device 110. In response to determining that the sound can bedetected by mobile device 110, at step 206, mobile device 110 streamsthe audio with information of the location of mobile device 110 to audioanalysis system 130 in cloud infrastructure 140.

In response to receiving the streamed audio with the information of thelocation of mobile device 110, at step 207, audio analysis system 130determines whether the audio is recorded from disconnected device 120,based on the information of the location of mobile device 110. Todetermine from which one of disconnected devices the audio is recorded,audio analysis system 130 pairs the location of mobile device 110 andthe predefined location of the one of the disconnected devices. Theinformation of the predefined locations of the disconnected devices isstored in a knowledge base in cloud infrastructure 140. Audio analysissystem 130 determines the audio is recorded from disconnected device120, if the location of mobile device 110 matches the predefinedlocation of disconnected device 120.

In response to determining that the audio is recorded from disconnecteddevice 120, at step 208, audio analysis system 130 analyzes the audio(which is streamed form mobile device 110) and compares the audio withpre-recorded sounds of disconnected device 120. The pre-recorded soundsof disconnected device 120 are generated in different operation statusesof disconnected device 120 and stored in the knowledge base in cloudinfrastructure 140.

At step 209, audio analysis system 130 determines an operation status ofdisconnected device 120, based on a comparison of the audio and thepre-recorded sounds of disconnected device 120. Audio analysis system130 makes the determination of the operation status by matching theaudio with one of the pre-recorded sounds of disconnected device 120. Atstep 210, audio analysis system 130 updates the operation status ofdisconnected device 120 in the knowledge database.

At step 211, audio analysis system 130 sends to mobile device 110 anotification for an event predetermined by the user of mobile device110. A predetermined event is a certain operation status for the userreceiving the notification from audio analysis system 130. At this step,in response to determining that the operation status determined at step209 is the event predetermined by the user of mobile device 110, audioanalysis system 130 sends to mobile device 110 the notification of theoperation status. For example, if completion of an operation ofdisconnected device 120 is an event predetermined by the user, audioanalysis system 130 sends a notification of the completion to mobiledevice 110 when audio analysis system 130 determines that the operationof disconnected device 120 completes.

FIG. 3 is a diagram illustrating components of computing device 300, inaccordance with one embodiment of the present invention. It should beappreciated that FIG. 3 provides only an illustration of oneimplementation and does not imply any limitations with regard to theenvironment in which different embodiments may be implemented.

Referring to FIG. 3, computing device 300 includes processor(s) 320,memory 310, and tangible storage device(s) 330. In FIG. 3,communications among the above-mentioned components of computing device300 are denoted by numeral 390. Memory 310 includes ROM(s) (Read OnlyMemory) 311, RAM(s) (Random Access Memory) 313, and cache(s) 315. One ormore operating systems 331 and one or more computer programs 333 resideon one or more computer readable tangible storage device(s) 330. Onmobile device 110, one or more computer programs 333 include one or moremobile applications for implementing operational steps 201-206 shown inFIG. 2. Audio analysis system 130 resides on one or more computerreadable tangible storage device(s) 330 on a server in cloudinfrastructure 140.

Computing device 300 further includes I/O interface(s) 350. I/Ointerface(s) 350 allows for input and output of data with externaldevice(s) 360 that may be connected to computing device 300. Computingdevice 300 further includes network interface(s) 340 for communicationsbetween computing device 300 and a computer network.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device, such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network(LAN), a wide area network (WAN), and/or a wireless network. The networkmay comprise copper transmission cables, optical transmission fibers,wireless transmission, routers, firewalls, switches, gateway computersand/or edge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++, and conventionalprocedural programming languages, such as the “C” programming language,or similar programming languages. The computer readable programinstructions may execute entirely on the user's computer, partly on theuser's computer, as a stand-alone software package, partly on the user'scomputer and partly on a remote computer, or entirely on the remotecomputer or server. In the latter scenario, the remote computer may beconnected to the user's computer through any type of network, includinga local area network (LAN) or a wide area network (WAN), or theconnection may be made to an external computer (for example, through theInternet using an Internet Service Provider). In some embodiments,electronic circuitry including, for example, programmable logiccircuitry, field-programmable gate arrays (FPGA), or programmable logicarrays (PLA) may execute the computer readable program instructions byutilizing state information of the computer readable programinstructions to personalize the electronic circuitry in order to performaspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture, including instructions which implement aspectsof the function/act specified in the flowchart and/or block diagramblock or blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus, or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

It is to be understood that although this disclosure includes a detaileddescription on cloud computing, implementation of the teachings recitedherein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g., networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported, providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure that includes anetwork of interconnected nodes.

Referring now to FIG. 4, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 includes one or morecloud computing nodes 10 with which local computing devices are used bycloud consumers, such as mobile device 54A (for example mobile device110 as shown in FIG. 1), desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 4 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 5, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 4) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 5 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes, RISC(Reduced Instruction Set Computer) architecture based servers, servers,blade servers, storage devices, and networks and networking components.In some embodiments, software components include network applicationserver software and database software.

Virtualization layer 62 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers,virtual storage, virtual networks, including virtual private networks,virtual applications and operating systems, and virtual clients.

In one example, management layer 64 may provide the functions describedbelow. Resource provisioning provides dynamic procurement of computingresources and other resources that are utilized to perform tasks withinthe cloud computing environment. Metering and Pricing provide costtracking as resources are utilized within the cloud computingenvironment, and billing or invoicing for consumption of theseresources. In one example, these resources may include applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User Portal provides access to the cloud computing environment forconsumers and system administrators. Service Level Management providescloud computing resource allocation and management such that requiredservice levels are met. Service Level Agreement (SLA) Planning andFulfillment provide pre-arrangement for, and procurement of, cloudcomputing resources for which a future requirement is anticipated inaccordance with an SLA.

Workloads layer 66 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: Mapping andNavigation, Software Development and Lifecycle Management, VirtualClassroom Education Delivery, Data Analytics Processing, TransactionProcessing, and functionality according to the present invention(Function 66 a). Function 66 a in the present invention is thefunctionality of audio analysis system 130 in cloud infrastructure 140shown in FIG. 1. Audio analysis system 130 in cloud infrastructure 140has been discussed in detail in previous paragraphs of this document.

1. A computer program product for monitoring an operation status of adisconnected device by a mobile device and an audio analysis system inan infrastructure, wherein the mobile device has connectivity to theinfrastructure and the disconnected device has no connectivity to theinfrastructure, the computer program product comprising a computerreadable storage medium having program code embodied therewith, theprogram code executable to: receive from the mobile device, by the audioanalysis system, audio with information of a location of the mobiledevice, wherein the audio is recorded during passive listening of themobile device to the disconnected device; determine, by the audioanalysis system, whether the audio is recorded from the disconnecteddevice, based on the information of the location of the mobile device;compare, by the audio analysis system, the audio with pre-recordedsounds of the disconnected device, in response to determining that theaudio is recorded from the disconnected device; determine, by the audioanalysis system, the operation status of the disconnected device, basedon a comparison of the audio and the pre-recorded sounds; and send tothe mobile device, by the audio analysis system, a notification of theoperation status of the disconnected device, in response to determiningthat the operation status is an event predetermined by a user of themobile device.
 2. The computer program product of claim 1, furthercomprising the program code executable to: invoke, by the mobile device,the passive listening of the mobile device to a sound generated by thedisconnected device, in response to determining that the mobile deviceis in proximity to a predefined location of the disconnected device;determine, by the mobile device, whether the sound can be detected bythe mobile device; stream, by the mobile device, the audio with theinformation of the location of the mobile device to the audio analysissystem, in response to determining that the sound can be detected by themobile device; and receive, by the mobile device, the notification ofthe operation status.
 3. The computer program product of claim 2,further comprising the program code executable to: receive from theuser, by the mobile device, a selection of the disconnected device in alist of disconnected devices; determine, by the mobile device, thelocation of the mobile device; and determine, by the mobile device,whether the mobile device is in proximity to the predefined location ofthe disconnected device.
 4. The computer program product of claim 3,wherein the mobile device uses a location service on the mobile deviceto determine the location of the mobile device.
 5. The computer programproduct of claim 1, further comprising the program code executable to:update, by the audio analysis system, the operation status of thedisconnected device in a knowledge database in the infrastructure. 6.The computer program product of claim 1, wherein the pre-recorded soundsis stored in a knowledge database in the infrastructure.
 7. The computerprogram product of claim 1, further comprising the program codeexecutable to: pair, by the audio analysis system, the location of themobile device and a predefined location of the disconnected device,wherein information of the predefined location of the disconnecteddevice is stored in a knowledge database in the infrastructure.
 8. Acomputer system for monitoring an operation status of a disconnecteddevice by a mobile device and an audio analysis system in aninfrastructure, wherein the mobile device has connectivity to theinfrastructure and the disconnected device has no connectivity to theinfrastructure, the computer system comprising: one or more processors,one or more computer readable tangible storage devices, and programinstructions stored on at least one of the one or more computer readabletangible storage devices for execution by at least one of the one ormore processors, the program instructions executable to: receive fromthe mobile device, by the audio analysis system, audio with informationof a location of the mobile device, wherein the audio is recorded duringpassive listening of the mobile device to the disconnected device;determine, by the audio analysis system, whether the audio is recordedfrom the disconnected device, based on the information of the locationof the mobile device; compare, by the audio analysis system, the audiowith pre-recorded sounds of the disconnected device, in response todetermining that the audio is recorded from the disconnected device;determine, by the audio analysis system, the operation status of thedisconnected device, based on a comparison of the audio and thepre-recorded sounds; and send to the mobile device, by the audioanalysis system, a notification of the operation status of thedisconnected device, in response to determining that the operationstatus is an event predetermined by a user of the mobile device.
 9. Thecomputer system of claim 8, further comprising the program instructionsexecutable to: invoke, by the mobile device, the passive listening ofthe mobile device to a sound generated by the disconnected device, inresponse to determining that the mobile device is in proximity to apredefined location of the disconnected device; determine, by the mobiledevice, whether the sound can be detected by the mobile device; stream,by the mobile device, the audio with the information of the location ofthe mobile device to the audio analysis system, in response todetermining that the sound can be detected by the mobile device; andreceive, by the mobile device, the notification of the operation status.10. The computer system of claim 9, further comprising the programinstructions executable to: receive from the user, by the mobile device,a selection of the disconnected device in a list of disconnecteddevices; determine, by the mobile device, the location of the mobiledevice; and determine, by the mobile device, whether the mobile deviceis in proximity to the predefined location of the disconnected device.11. The computer system of claim 10, wherein the mobile device uses alocation service on the mobile device to determine the location of themobile device.
 12. The computer system of claim 8, further comprisingthe program instructions executable to: update, by the audio analysissystem, the operation status of the disconnected device in a knowledgedatabase in the infrastructure.
 13. The computer system of claim 8,wherein the pre-recorded sounds is stored in a knowledge database in theinfrastructure.
 14. The computer system of claim 8, further comprisingthe program instructions executable to: pair, by the audio analysissystem, the location of the mobile device and a predefined location ofthe disconnected device, wherein information of the predefined locationof the disconnected device is stored in a knowledge database in theinfrastructure.